Volume 6, Issue 3 (Journal of Clinical and Basic Research (JCBR) 2022)                   jcbr 2022, 6(3): 10-16 | Back to browse issues page

Ethics code: Study protocol approved by Institutional Ethics Committee, Narayana Medical College, Nellore. A.P. I

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Bagadi V H C, Gelli V S L, Muram Reddy V L, Badugu K M. Clinico-Immunohistochemical Analysis of Ovarian Tumors in a South Indian Population: A Single-Center Study. jcbr 2022; 6 (3) :10-16
URL: http://jcbr.goums.ac.ir/article-1-369-en.html
1- Department of Pathology, S.V.S. Medical College, Mahbubnagar, Telangana, India.
2- Narayana medical college and Hospital, Nellore, Andhra Pradesh, India. , sunandasankar19@gmail.com
3- Department of Pathology, Narayana medical college and Hospital, Nellore, Andhra Pradesh, India.
4- Department of Pathology, Government medical college, Ongole, Andhra Pradesh, India.
Abstract:   (1032 Views)
Background and objectives: In India, ovarian tumors are the fifth leading cause of death in women. They account for 6% of all cancers in women. The present study aimed to provide support for a new theory of ovarian carcinogenesis by investigating the frequency of ovarian tumors and determining whether the Ki-67 labeling index and p53 overexpression help in differentiating borderline and malignant surface epithelial tumors.
Methods: The study included all ovarian tumor specimens sent for histopathological examination to the Department of Pathology of Narayana Medical College between June 2017 and October 2019.  
Results: The frequency of benign epithelial and malignant tumors was 85.47% and 11.97%, respectively. Surface epithelial tumors (81.96%) and germ cell tumors (8.54%) were the most common ovarian tumors. In immunohistochemistry, p53 overexpression in surface epithelial neoplasms showed moderate positivity in all 2 cases of serous carcinomas, while 2 out of 6 mucinous carcinomas cases showed weak positivity. All six cases of mucinous carcinomas showed a Ki-67 labeling index of 26-50%. Serous carcinomas showed a high index of 51%, while mucinous carcinomas had a mean index of 37%. Overexpression of Ki-67 was significantly more common in malignant surface epithelial neoplasms (41.83%) when compared with borderline epithelial neoplasms (27%) (p<0.001).
Conclusion:  In comparison to borderline serous and mucinous tumors, Ki-67 overexpression is significantly higher common in malignant surface epithelial tumors. Moreover, p53 overexpression is significantly more common in serous carcinoma when compared with borderline serous tumors but not mucinous tumors. Overall, these markers could be beneficial for diagnosing difficult cases and predicting prognosis.
 
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Article Type: Research | Subject: Oncology

References
1. Roth LM. Recent advances in the pathology and classification of ovarian sex cord- stromal tumors. International journal of gynecological pathology. 2006 Jul 1;25(3):199-215. [View at Publisher] [DOI] [PMID] [Google Scholar]
2. Hankinson SE, Danforth KN. Ovarian cancer. In: Schottenfeld D, Fraumeni JF., eds. Cancer Epidemiology and Prevention. 3rd ed. New York, NY: Oxford University Press; 2006:1013-26. [DOI]
3. Thomas J, Nachimuthu N, James C, Barbara K, Swede H. Risk factors for invasive epithelial ovarian cancer by histologic subtype. Online Journal of Health and Allied Sciences. 2004;3(3). [Google Scholar]
4. Chen LM, Karlan BY. Early detection and risk reduction for familial gynecologic cancers. Clinical obstetrics and gynecology. 1998 Mar 1;41(1):200-14. [View at Publisher] [DOI] [PMID] [Google Scholar]
5. Lee WH, Lew WY. Fine needle aspiration cytology in the diagnosis and classification of recurrent and metastatic gynecological malignancies. Singapore medical journal. 1988 Aug;29(4):375-8.
6. Swanson CL, Bakkum-Gamez JN. Options in prophylactic surgery to prevent ovarian cancer in high-risk women: new hypotheses of fallopian tube origin influence recommendations. Current treatment options in oncology. 2016 May 1;17(5):20. [View at Publisher] [DOI] [PMID] [Google Scholar]
7. Kurman RJ, Visvanathan K, Roden R, Wu TC, Shih IM. Early detection and treatment of ovarian cancer: shifting from early stage to minimal volume of disease based on a new model of carcinogenesis. American journal of obstetrics and gynecology. 2008 Apr 1;198(4):351-6. [View at Publisher] [DOI] [PMID] [PMCID] [Google Scholar]
8. Lee KR, Young RH. The distinction between primary and metastatic mucinous carcinomas of the ovary: gross and histologic findings of 50 cases. The American journal of surgical pathology. 2003 Mar 1;27(3):281-92. [View at Publisher] [DOI] [PMID] [Google Scholar]
9. Jha R, Karki S. Histological pattern of ovarian tumors and their age distribution. Nepal Med Coll J. 2008 Jun;10(2):81-5. [Google Scholar]
10. Kayastha S. Study of ovarian tumors in Nepal Medical College Teaching Hospital. Nepal Med Coll J. 2009 Sep;11(3):200-2. [Google Scholar]
11. Kar Tushar, Kar Asanranthi Mohapatra PC. Intraoperative cytology of ovarian tumors. J Obstet Gynecol India 2005; 55(4): 345-49. [Google Scholar]
12. Adami HO, Lambe M, Persson I, Ekbom A, Hsieh CC, Trichopoulos D, LeonD, Janson PO. Parity, age at first childbirth, and risk of ovarian cancer. The Lancet. 1994 Nov 5;344(8932):1250-4. [View at Publisher] [DOI] [PMID] [Google Scholar]
13. Hildreth et al. An epidemiological study of ovarian carcinoma ovary. Amer J Epidemiol. 1981;114:389-405. [DOI] [PMID]
14. Rashid S, Sarwar G, Ali A. A clinicopathological study of ovarian cancer. Mother- Child. 1998;36:117-25.
15. Pilli GS, Suneeta KP, Dhaded AV, Yenni VV. Ovarian tumors: a study of 282 cases. Journal of the Indian Medical Association. 2002 Jul;100(7):420-3. [View at Publisher] [Google Scholar]
16. Timmerman D, Van Calster B, Testa A, Savelli L, Fischerova D, Froyman W,Wynants L, Van Holsbeke C, Epstein E, Franchi D, Kaijser J. Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group. American journal of obstetrics and gynecology. 2016 Apr 1;214(4):424-37 [View at Publisher] [DOI] [PMID] [Google Scholar]
17. Yasmin S, Yasmin A, Asif M. Clinicohistological pattern of ovarian tumors in Peshawar region. J Ayub Med Coll Abbottabad. 2008 Dec 1;20(4):11-3. [Google Scholar]
18. Shaikh NA, Hashmi F, Samoo RP. Pattern of ovarian tumors: report of 15 years experience at Liaquat University Jamshoro. J Liaquat Uni Med Health Sci. 2007 Jan;6:13-5. [DOI] [Google Scholar]
19. Hiremath PB, Gane B, Meenal C. Clinical profile and pathology of ovariantumor. International Journal of Biological and Medical Research. 2012;3(2):1743-6. [Google Scholar]
20. Fattaneh .A.Tavassoli, Devilee P. Tumours of the breast. Pathology and genetics of tumors of the breast and female genital organs. World HealthOrganization Classification of Tumors. Lyon, France: IARC. 2003:9-112.
21. Ulbright TM. Germ cell tumors of the gonads: a selective review emphasizing problems in the differential diagnosis, newly appreciated, and controversial issues. Modern Pathology. 2005 Feb;18(2): S61-79 [DOI] [PMID] [Google Scholar]
22. Psyrri A, Kountourakis P, Yu Z, Papadimitriou C, Markakis S, Camp RL, Economopoulos T, Dimopoulos MA. Analysis of p53 protein expression levels on ovarian cancer tissue microarray using automated quantitative analysis elucidates prognostic patient subsets. Annals of oncology. 2007 Jan 13;18(4):709-15. [View at Publisher] [DOI] [PMID] [Google Scholar]
23. Ayadi L, Chaabouni S, Khabir A, Amouri H, Makni S, Guermazi M, Frikha M, Boudawara TS. Correlation between immunohistochemical biomarkers expression and prognosis of ovarian carcinomas in Tunisian patients. World journal of oncology. 2010 Jun;1(3):118. [DOI] [PMID] [PMCID] [Google Scholar]
24. Gursan N, Sipal S, Calik M, Gundogdu C. P53, BCL-2, ki-67 li (labeling index) status in benign, proliferative, and malignant ovarian surface epithelial neoplasms. Eurasian J Med. 2009;41(1):10-14. [Google Scholar]
25. Mita S, Nakai A, Maeda S, Takeshita T. Prognostic significance of Ki-67antigen immunostaining (MIB-1 monoclonal antibody) in ovarian cancer.Journal of Nippon Medical School. 2004;71(6):384-91. [View at Publisher] [DOI] [PMID] [Google Scholar]
26. Sylvia MT, Kumar S, Dasari P. The expression of immunohistochemical markers estrogen receptor, progesterone receptor, Her-2-neu, p53, and Ki-67 in ovarian epithelial tumors and its correlation with clinicopathologic variables. Indian journal of pathology and microbiology. 2012 Jan 1;55(1):33. [View at Publisher] [DOI] [PMID] [Google Scholar]

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